29
CREDIT AUTHOR’S STATEMENT All listed authors have contributed to this study and reviewed the finished manuscript. - Study concepts: C Touboul, V Lavoue, S Bendifallah, F Rodriguez, M Ballester, P Collinet, L Ouldamer, O Graesslin, C Huchon, F Golfier and X Carcopino - Study design: T Moussilmani, X Carcopino, F Rodriguez and S Knight - Data acquisition : PA Bolze, Y Kerbage, G Atrous, L Dion, Y Dabi, E Raimond, M Mimouni and A Benbara - Quality control of data and algorithms: X Carcopino, F Rodriguez and J Mancini - Data analysis and interpretation: X Carcopino, T Moussilmani, S Knight and J Mancini - Statistical analysis: J Mancini, T Moussilmani and X Carcopino - Manuscript preparation: X Carcopino, T Moussilmani and J Mancini - Manuscript editing: X Carcopino, T Moussilmani, S Knight, Y Dabi, F Rodriguez and J Mancini - Manuscript review: All authors Pr Xavier CARCOPINO MD, PhD Corresponding author Journal Pre-proof

Prognosis impact of posttreatment pelvic MRI in patients

  • Upload
    others

  • View
    5

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Prognosis impact of posttreatment pelvic MRI in patients

CREDIT AUTHOR’S STATEMENT

All listed authors have contributed to this study and reviewed the finished manuscript.

- Study concepts: C Touboul, V Lavoue, S Bendifallah, F Rodriguez, M Ballester, P Collinet, L Ouldamer, O Graesslin, C Huchon, F Golfier and X Carcopino

- Study design: T Moussilmani, X Carcopino, F Rodriguez and S Knight - Data acquisition : PA Bolze, Y Kerbage, G Atrous, L Dion, Y Dabi, E Raimond, M Mimouni and

A Benbara - Quality control of data and algorithms: X Carcopino, F Rodriguez and J Mancini - Data analysis and interpretation: X Carcopino, T Moussilmani, S Knight and J Mancini - Statistical analysis: J Mancini, T Moussilmani and X Carcopino - Manuscript preparation: X Carcopino, T Moussilmani and J Mancini - Manuscript editing: X Carcopino, T Moussilmani, S Knight, Y Dabi, F Rodriguez and J Mancini - Manuscript review: All authors

Pr Xavier CARCOPINO MD, PhD Corresponding author

Journ

al Pre-

proof

Page 2: Prognosis impact of posttreatment pelvic MRI in patients

1

PROGNOSIS IMPACT OF POSTTREATMENT PELVIC MRI IN PAT IENTS

TREATED FOR STAGE IB2-IIB CERVICAL CANCER WITH CHEM ORADIATION

THERAPY

Authors: Tiphaine Moussilmani1, Sophie Knight1, Julien Mancini2, Cyril Touboul3, Florence

Rodriguez4, Pierre Adrien Bolze5, Sofiane Bendifallah3, Marcos Ballester6, Pierre Collinet7,

Yohan Kerbage7, Lobna Ouldamer8, Geoffroy Atrous8, Vincent Lavoué9, Ludivine Dion9,

Yohann Dabi10, Emilie Raimond11, Olivier Graesslin11, Cyrille Huchon12, Myriam Mimouni12,

Alexandre Bricou13, François Golfier5, Xavier Carcopino1*.

Affiliations:

1. Department of Obstetrics and Gynaecology, Hôpital Nord, APHM, Aix-Marseille

University (AMU), Univ Avignon, CNRS, IRD, IMBE UMR 7263, 13397, Marseille,

France

2. Aix Marseille Univ, APHM, Inserm, IRD, SESSTIM, Hop Timone, BioSTIC,

Marseille, 13385 France

3. Department of Gynaecology and Obstetrics, Tenon University Hospital, Assistance

Publique des Hôpitaux de Paris (AP-HP), Faculté de Médecine Sorbonne Université,

Institut Universitaire de Cancérologie (IUC), France.

4. Department of Radiology, Hôpital Nord, APHM, Marseille, France

5. Department of Gynaecologic and Oncologic Surgery and Obstetrics, Centre

Hospitalier Universitaire Lyon Sud, Hospices Civils de Lyon, Université Lyon 1,

France

6. Department of Gynaecologic and Breast Surgery, Groupe Hospitalier Diaconesses

Croix Saint Simon, 125 rue d’Avron, 75020, Paris

Journ

al Pre-

proof

Page 3: Prognosis impact of posttreatment pelvic MRI in patients

2

7. Department of Gynaecologic surgery, Hôpital Jeanne de Flandre, CHRU LILLE, Rue

Eugene avinée 59037 lille cedex, France

8. Department of Gynaecology. CHRU de Tours. Hôpital Bretonneau. INSERM unit

1069, 2 boulevard Tonnelé. 37044 TOURS. France.

9. Department of Gynaecology, CHU de Rennes, France. INSERM 1242, COSS,

Rennes. Université de Rennes 1. France.

10. Departement of Obstetrics and Gynaecology, Centre Hospitalier Intercommunal,

Créteil, France. Université de Médecine Paris Est Créteil.

11. Department of Obstetrics and Gynaecology, Alix de Champagne Institute, Centre

Hospitalier Universitaire, 45 rue Cognacq-Jay, 51092 Reims, FRANCE

12. Department of gynaecology, CHI Poissy-St-Germain, Université Versailles-Saint-

Quentin en Yvelines, EA 7285 Risques cliniques et sécurité en santé des femmes,

Université Versailles-Saint-Quentin en Yvelines, Versailles, France

13. Department of Obstetrics and Gynaecology, Jean-Verdier University Hospital,

Assistance Publique des Hôpitaux de Paris, University Paris 13, France

* Corresponding author: Xavier Carcopino, MD, PhD

Department of Obstetrics and Gynaecology

Assistance Publique des Hôpitaux de Marseille (APHM)

Hôpital Nord, Chemin des Bourrely, 13015 Marseille, France

Phone: 0033 4 91 96 46 72

Email: [email protected]

Journ

al Pre-

proof

Page 4: Prognosis impact of posttreatment pelvic MRI in patients

3

Journ

al Pre-

proof

Page 5: Prognosis impact of posttreatment pelvic MRI in patients

4

ABSTRACT

Objectives: To evaluate the performances of systematic posttreatment pelvic magnetic

resonance imaging (PPMRI) in predicting prognosis of patients treated with chemoradiation

therapy (CRT) for locally advanced cervical cancer (LACC).

Materials and methods: Multi-institutional data from 216 patients presenting FIGO IB2-IIB

cervical cancer for which PPMRI was performed following CRT were retrospectively

reviewed. Incomplete response was defined as the identification of persistent lesion on

PPMRI. Primary endpoints were patients’ 5-year recurrence free (RFS) and overall (OS)

survivals. Secondary endpoint was the identification of residual histologic disease on

hysterectomy specimens when completion surgery was performed.

Results: PPMRI identified an incomplete response in 102 (47.2%) cases. A 70% or more

reduction in tumor size on PPMRI was identified as the best predictive cut-off for recurrence

(37.7% sensitivity and 78.7% specificity) and death (50% sensitivity and 77.9% specificity)

with significant impact on those risks (HRa: 0.42; 95%CI: 0.23-0.77 and HRa: 0.18; 95%CI:

0.06-0.50, respectively). Completion hysterectomy was performed in 117 (54.4%) cases, with

histologic residual disease in 55 (47.4%). PPMRI demonstrated 74.5% sensitivity and 50.8%

specificity in predicting residual disease. Although survival of patients with complete

response at PPMRI was not impacted by completion hysterectomy, it significantly increased

5-year RFS and OS of those with incomplete response: 38.7% vs. 65.3% (p<0.001) and 63%

vs. 82.9% (p=0.038), respectively.

Conclusion: A 70% or more reduction of in tumor size on PPMRI following CRT in patients

with LACC is predictive of RFS and OS. PPMRI could help triaging patients who could

benefit from completion hysterectomy.

Journ

al Pre-

proof

Page 6: Prognosis impact of posttreatment pelvic MRI in patients

5

248 words

Keywords: Pelvic MRI; cervical cancer; prognosis; survival; recurrence; chemoradiation

Journ

al Pre-

proof

Page 7: Prognosis impact of posttreatment pelvic MRI in patients

6

INTRODUCTION

With 569 847 new cases and 311 365 deaths reported in 2018, cervical cancer represents a

genuine worldwide health challenge and the fourth cancer among women [1]. It remains a

dramatic disease since it affects young women with high mortality. Although surgery is

commonly performed for the management of microinvasive cervical cancer and early FIGO

stages, combined chemoradiation therapy (CRT) has been demonstrated as the treatment of

choice for patients diagnosed with locally advanced disease [2]. Such combined therapy is

now considered as a standard as it was proven to improve overall and progression-free

survival and to reduce local and distant recurrences [3–5]. However, despite obvious efficacy

of CRT, recurrences are unfortunately still common, occurring mostly within the first two

years of follow-up [6,7]. Additionally to the FIGO staging, pelvic and para aortic nodal status

and tumor dimensions have been identified as major initial prognosis factors [7,8]. Another

key prognosis factor is the identification of posttreatment cervical residual disease. However,

the proper evaluation of patients’ response to CRT remains challenging as solely the

histologic analysis of surgical specimen from patients undergoing completion hysterectomy

can reliably asses this parameter.

Pelvic magnetic resonance imaging (MRI) has been shown to be the best imaging

examination for the initial staging of patients diagnosed with cervical cancer [9,10]. It

provides precise characterization of the disease with the ability to determine the exact tumor

dimensions and its local spread with possible involvement of nearby organs such as parameter

and ureters, vagina, bladder and rectum [11,12]. Pelvic MRI is also commonly performed for

the evaluation of tumor’s response following CRT. However, its performances in this precise

indication remains questionable. Although previous studies have shown its ability to predict

patients’ outcome and survival, there is a lack of evidence regarding the ability of

Journ

al Pre-

proof

Page 8: Prognosis impact of posttreatment pelvic MRI in patients

7

posttreatment pelvic magnetic resonance imaging (PPMRI) to predict histological cervical

residual disease. Thus, only few studies have correlated PPMRI results with the histological

analysis of hysterectomy specimens in patients who had undergone completion surgery [13–

17]. Additionally, these retrospective studies suffer from limited power with little number of

patients included, ranging from 41 to 159 only [13–17].

The possibility to identify post-RCT residual disease represents a genuine challenge as it

could allow for tailored surgery in selected patients. To date, the benefit of completion

surgery following CRT in locally advanced cervical cancer remains widely debated as it has

not shown any improvement in patients’ survival and is associated with genuine morbidity

[18,19]. Previous data however suggest that completion surgery could improve local control

in patients with partial pathological response [20–23]. Finally, completion surgery allows for

the identification of patients with incomplete histologic response and higher risk of recurrence

that should be submitted to adjuvant therapies [24,25].

The aim of this study was to evaluate the performances of systematic PPMRI in predicting

prognosis of patients treated with CRT for locally advanced cervical cancer. We also

evaluated the ability of PPMRI in predicting cervical histologic residual disease.

METHODS

Study population

Data from all patients treated for stage IB2 to IIB cervical cancer by chemoradiation therapy

(CRT) in 9 French institutions from April 1996 to May 2016, and for which a systematic

PPMRI was performed were retrospectively analyzed. Patients’ initial characteristics,

therapeutic management and follow up were retrieved from medical charts. Primary endpoint

was patients’ survival. Secondary endpoint was the histologic identification of residual

Journ

al Pre-

proof

Page 9: Prognosis impact of posttreatment pelvic MRI in patients

8

disease on hysterectomy specimens when completion surgery was performed. Informed

consent was obtained from all participants. The study protocol received ethical approval from

the Institutional Review Board of the Collège National des Gynécologues et Obstétriciens

Français (CEROG 2016-GYN-0502).

Patients’ pretreatment evaluation included physical examination, cervical biopsy and/or

diagnostic conization completed with PET/CT and pelvic MRI. The FIGO staging was

established based on the results of physical examination combined with pelvic MRI according

to the 2009 FIGO classification [26]. The retrospective nature of the study did not allow for

the use of the revised 2019 FIGO classification for cervical cancer [9]. The tumor maximal

size was determined on pre-therapeutic pelvic MRI and corresponded to the largest dimension

of the tumor. When indicated, initial surgical nodal staging including pelvic and/or para-aortic

laparoscopic lymphadenectomy was performed. The patients’ lymph node status was

therefore classified according to three categories depending of the findings of PET/CT and/or

surgical nodal staging when performed. Patients were considered as node positive (N+) when

nodal involvement was identified on the pre-therapeutic PET/CT and/or by the surgical nodal

staging. Patients were considered as node negative (N-) only after negative surgical nodal

staging regardless of the results of the imaging. Finally, patients with negative pre-therapeutic

PET/CT but who had not undergone surgical nodal staging or who had had neither pre-

treatment PET/CT nor surgical nodal staging were considered as unknown (Nx).

Treatment modalities were established by a local multidisciplinary committee according to

the French national guidelines. Although all patients did receive CRT, they could either have

received additional vaginal brachytherapy (VBT) and/or completion hysterectomy. Thus, the

following four treatment strategies were recorded: exclusive CRT; CRT followed by VBT;

CRT followed by completion surgery; CRT followed by VBT and completion surgery. The

decision whether to perform completion surgery (i.e. hysterectomy) solely depended on the

Journ

al Pre-

proof

Page 10: Prognosis impact of posttreatment pelvic MRI in patients

9

practice of each participating institution, as some systematically did perform completion

hysterectomy whilst others did not, and some considered completion surgery only in cases

with documented residual disease following CRT.

PPMRI was performed within a 3 month delay following the completion of CRT or after

additional VBT when performed. An incomplete response at PPMRI was defined as the

identification of persistent cervical and/or nodal lesion. Cervical and nodal incomplete

response were defined as a persistent cervical lesion and persistent nodal lesion, respectively.

Systematic follow-up included visits every 3 months during the first 2 years, every 6 months

during the 3 following years and annually after 5 years. Follow-up included physical

examination while imaging including PET/CT and/or pelvic MRI was performed in case of

suspected recurrence.

Statistical analysis:

5-year recurrence-free (RFS) and overall (OS) survivals were estimated. RFS and OS were

defined as the duration from the date of primary treatment to recurrence and death,

respectively. In case no event was reported, they were censored at the date of last follow-up.

RFS and OS were estimated for the following variables: age, BMI, parity, menopausal status,

FIGO stage, histology, tumor size, nodal status, treatment modality and results of PPMRI.

Identification of optimal cut-off in the reduction of cervical tumour’s dimension as predictive

factor for RFS and OS was performed using the receiver operator characteristics (ROC) curve

analysis. Multivariate analysis was conducted including variables that were identified as

significant RFS and OS prognostic factors in our study and in literature.

Results of PPMRI were compared to the presence or absence of histologic residual disease on

hysterectomy specimens when completion surgery had been performed. PPMRI diagnostic

performances for histologic residual disease were evaluated using sensitivity and specificity.

Journ

al Pre-

proof

Page 11: Prognosis impact of posttreatment pelvic MRI in patients

10

Patient characteristics were reported using counts (%) for categorical variables and mean ±

standard deviation for continuous variables. Chi2 statistics were used to compare indicators of

diagnostic performances. Kaplan-Meier estimates were used to estimate the event-time

distributions, and log-rank test was used to compare the differences among the different

groups in terms of RFS and OS. Hazard Ratios (HR) in univariate analysis and adjusted

Hazard ratios (HRa) in multivariate analysis were estimated using Cox model. A p value of

<0.05 was considered statistically significant. Statistical analysis was performed using IBM

SPSS Statistics version 20.0 (IBM Inc., New York, NY, USA).

RESULTS

Patients

A total of 216 patients with stage IB2 to IIB cervical cancer who received CRT and for which

a systematic posttreatment pelvic MRI had been performed were included in the study.

Patients’ characteristics are reported in Table 1. An incomplete response was identified on

PPMRI in 102 (47.2%) cases. Completion surgery was performed in 117 (54.4%) cases, with

histologic residual disease identified in 55 (47.4%) cases, mean size of histologic residual

disease was 6 mm (±11.0). Median duration of follow-up was 39.2 months (95%CI: 32.4-46).

The 5-year RFS and OS were respectively 60% (95%CI: 53-69) and 82% (95%CI: 75-90).

Journ

al Pre-

proof

Page 12: Prognosis impact of posttreatment pelvic MRI in patients

11

Age, mean (± SD) (years) 52.3 (± 12.8) BMI, mean (± SD) (kg/ m²) 25.6 (± 6.0) Parity, mean (± SD) 2.7 (± 2.3) Menopaused 101 (47) FIGO stage IB2 IIA IIB

36 (16.7) 27 (12.5) 153 (70.8)

Histology Squamous Other histology ‡

182 (84.3) 34(15.7)

Tumor size (MRI) (mm) Mean (± SD) ≥ 40

46.8 (± 14.2) 147 (73.1)

Nodal status*£ N- N+ Nx

106 (49.1) 50 (23.1) 60 (27.8)

Treatment modality Exclusive CT/RT CRT + VBT CRT + Completion hysterectomy CRT + VBT + Completion hysterectomy

16 (7.4) 80 (37) 18 (8.3)

102 (47.2) PPMRI Incomplete cervical response Incomplete nodal response Incomplete cervical and/or nodal response

99 (45.8)

11 (6) 102 (47.2)

Completion hysterectomy Cervical residual disease Residual tumor size (± SD) (mm)

117 (54.4) 55 (47.4)

6.0 (± 11.1)

Table 1. Patients’ characteristics (n=216) Values are expressed as n (%), unless otherwise indicated ‡ Adenocarcinomas (n=27) and other histology type (n=7) *Defied as follows: N+ (N+ on PET/CT or N- on PET/CT but N+ after surgical nodal staging or N+ after surgical nodal staging) N- (negative surgical nodal staging) Nx (no PET/CT and no surgical nodal staging or negative PET/CT with no surgical nodal staging) £ Nodal surgical pretherapeutic staging was performed in 145 (67.1%) patients SD: Standard deviation; BMI: Body Mass Index; CRT: chemoradiation therapy; PPMRI: posttreatment pelvic MRI; VBT: vaginal brachytherapy

Journ

al Pre-

proof

Page 13: Prognosis impact of posttreatment pelvic MRI in patients

12

Predictive factors for recurrence

The 5-year RFS for patients with an incomplete response at PPMRI was 58.4% vs 61.9% for

patients with complete metabolic response (p=0.55) (Figure 1A). Although the identification

of incomplete response on PPMRI was not found to significantly impact the RFS, the

identification of histologic cervical residual disease in women who had undergone completion

hysterectomy was significantly associated with an increased risk of recurrence (HR: 3.40;

95% CI: 1.6-7.4; p=0.002). Other factor identified to significantly impact the risk of

recurrence was nodal status, with an increased risk of recurrence of Nx and N+ patients when

compared to N- (HRa: 2.25; 95%CI: 1.19-4.28; p=0.01 and HRa: 2.340; 95%CI: 1.21-4.76;

p=0.01, respectively). Compared to patients who were solely treated with CRT, only patients

who received additional VBT followed by completion hysterectomy demonstrated a reduction

in the risk of recurrence (HRa: 0.33; 95%CI: 0.14-0.81; p=0.02) (Table 2). Considering the

reduction in tumor’s size observed when comparing pre and PPMRI, best prediction in

patients’ RFS was found for a threshold of 70% reduction or more (37.7% sensitivity and

78.7% specificity). Thus, compared to others, a reduction ≥70% in tumor’s size was found to

significantly reduce the risk of recurrence (HRa: 0.42; 95%CI: 0.23-0.77; p=0.005) (Table 2)

Jo

urnal

Pre-pro

of

Page 14: Prognosis impact of posttreatment pelvic MRI in patients

13

HR (95 % CI) p HRa (95 % CI) p

Age (for each extra year) 1.00 (0.98-1.20) 0.89 - - BMI (for 1 kg/m² extra) 0.98 (0.94-1.20) 0.35 - - Parity (for 1 extra birth) 1.06 (0.96-1.16) 0.26 - - Menopaused 0.80 (0.50-1.30) 0.45 - - FIGO stage*

IB2 IIA IIB

1 (ref.)

1.40 (0.50-4.00) 2.30 (1.00-5.00)

0.08 -

0.52 0.04

1 (ref.)

1.57 (0.45-5.53) 2.49 (0.98-6.34)

0.12 -

0.48 0.06

Squamous carcinoma ** 1.00 (0.50-2.00) 0.93 1.03 (0.50-2.12) 0.95 Tumor size (for each extra mm) 1.02 (1.00-1.04) 0.01 1.02 (1.00-1.04) 0.09 Nodal status †

N- Nx N+

1 (ref.)

2.20 (1.20-3.90) 2.90 (1.60-5.20)

<0.001 -

0.01 <0.001

1 (ref.)

2.40 (1.21-4.76) 2.25 (1.19-4.28)

0.02 -

0.01 0.01

Treatment modality ‡ CRT CRT + VBT CRT + Completion hysterectomy CRT + VBT + Completion hysterectomy

1 (ref)

0.60 (0.20-1.30) 0.60 (0.20-1.80) 0.30 (0.10-0.80)

0.03

0.18 0.37 0.009

1 (ref)

0.83 (0.34-2.05) 0.45 (0.14-1.45) 0.33 (0.14-0.81)

0.01 -

0.69 0.18 0.02

Reduction ≥70% in tumor size on PPMRI results 0.46 (0.27-0.78) 0.004 0.42 (0.23-0.77) 0.005

Incomplete response on PPMRI 1.20 (0.70-1.90) 0.55 - -

Table 2. Identification of prognostic factors of recurrence. HR: Hazard Ratio; HRa: Adjusted Hazard; BMI: Body Mass Index; CRT: chemoradiation therapy; PPMRI: posttreatment pelvic MRI. * Compared to IB2 stage (reference) ** Compared to other histology type † Compared to N- patients (reference) ‡ Compared to patients treated with exclusive CRT (reference)

Journ

al Pre-

proof

Page 15: Prognosis impact of posttreatment pelvic MRI in patients

14

Figure 1. Recurrence-free (A) and overall (B) survivals based on posttreatment PMRI results

Journ

al Pre-

proof

Page 16: Prognosis impact of posttreatment pelvic MRI in patients

15

Predictive factors for death

The 5-year OS for patients with an incomplete response at PPMRI was 78.4% vs. 84.6% for

patients with a complete response (p=0.047) (Figure 1B). An incomplete response at PPMRI

was not identified as a significant risk factor of death (Table 3). The best prediction in

patients’ OS was found for the same threshold of 70% reduction or more in tumor’s size with

a 50% sensitivity and 77.9% specificity. Thus, a reduction ≥70% in tumor’s size was the only

factor identified to significantly prevent the risk of death (HRa: 0.18; 95%CI: 0.06-0.50;

p=0.001) (Table 3).

HR (95 % CI) p HRa (95 % CI) p

Age (for each extra year) 0.99 (0.96-1.03) 0.63 - -

BMI (for 1 kg/m² extra) 0.98 (0.91-1.06) 0.60 - - Parity (for 1 extra birth) 1.13 (0.99-1.29) 0.07 - - Menopaused 0.70 (0.30-1.50) 0.31 - -

FIGO stage * IB2 IIA IIB

1 (ref.)

0.40 (0.10-1.70) 0.50 (0.20-1.20)

0.24 -

0.19 0.14

1 (ref.)

0.30 (0.03-2.58) 0.41 (0.15-1.14)

0.19 -

0.27 0.09

Squamous carcinoma ** 2.30 (0.50-9.60) 0.27 6.37 (0.80-50.8) 0.08 Tumor size (for each extra mm) 1.03 (1.00-1.06) 0.07 1.03 (0.99-1.07) 0.11 Nodal status †

N- Nx N+

1 (ref.)

1.50 (0.60-4.20) 2.70 (1.10-7.10)

0.11 -

0.42 0.04

1 (ref.)

1.98 (0.61-6.39) 1.60 (0.52-4.92)

0.50 -

0.25 0.41

Treatment modality ‡ CRT CRT + VBT CRT + Completion hysterectomy CRT + VBT + Completion hysterectomy

1 (ref.)

0.30 (0.10-1.10) 0.90 (0.20-3.90) 0.20 (0.10-0.90)

0.03 -

0.08 0.92 0.03

1 (ref.)

0.47 (0.11-2.08) 0.46 (0.09-2.41) 0.27 (0.06-1.16)

0.36 -

0.32 0.36 0.08

Reduction ≥70% in tumor size on PPMRI results

0.27 (0.12-0.62) 0.002 0.18 (0.06-0.50) 0.001

Incomplete response on PPMRI 2.30 (1.00-5.40) 0.05 - - Table 3. Identification of prognostic factors of death. HR: Hazard Ratio; HRa: Adjusted Hazard; BMI: Body Mass Index; CRT: chemoradiation therapy; PPMRI: posttreatment pelvic MRI. * Compared to IB2 stage (reference) ** Compared to other histology types † Compared to N- patients (reference) ‡ Compared to patients treated with exclusive CRT (reference)

Journ

al Pre-

proof

Page 17: Prognosis impact of posttreatment pelvic MRI in patients

16

Diagnostic performances of PPMRI in predicting cervical residual disease

When only considering the 117 patients who had undergone completion surgery, MRI

sensitivity and specificity in predicting histologic cervical residual disease was 75% (95% CI:

63-86) and 51% (95%CI: 38-63), respectively (Table 4). MRI diagnostic performances were

not impacted by histology, with comparable results in patients with squamous cervical

cancers and others. Only the size of the histologic cervical residue was found to impact the

diagnostic performances of PPMRI. Diagnostic performances were better when the size of

histologic residual disease was ≥10 mm, with 89.7 % sensitivity vs. 50.0% for smaller

residues (p=0.005).

Cervical residual disease on hysterectomy specimen

No Yes Total

Incomplete response on

posttreatment pelvic MRI

No 31 (50.8) 14 (25.5) 45 (38.8)

Yes 30 (49.2) 41 (74.5) 71 (61.2)

Total 61 55 116

Table 4. Diagnostic performances of posttreatment pelvic MRI in predicting documented histologic cervical residual disease in completion hysterectomy specimens after CRT. All values are expressed as n (%)

Ability of PPMRI to select patients who could benefit from completion surgery

While survival of patients found to have complete response at PPMRI was not impacted by

the practice of completion surgery, significant increase in RFS and OS was observed in

patients who had undergone completion surgery following the diagnosis of incomplete

response at posttreatment PMRI. Thus, among these patients, 5-year RFS was of 65.3% when

completion surgery was performed vs 38.7% when not performed (p<0.001); 5-years OS was

82.9% vs 63% (p=0.038), respectively (Figure 2).

Journ

al Pre-

proof

Page 18: Prognosis impact of posttreatment pelvic MRI in patients

17

Journ

al Pre-

proof

Page 19: Prognosis impact of posttreatment pelvic MRI in patients

18

Figure 2. Recurrence-free (A) and overall (B) survivals in cases of incomplete response on

posttreatment PMRI depending on whether completion surgery was performed or not.

Journ

al Pre-

proof

Page 20: Prognosis impact of posttreatment pelvic MRI in patients

19

DISCUSSION

This study shows systematic PPMRI to be predictive of the prognosis of patients treated with

CRT for locally advanced cervical cancer. Best prediction was achieved for patients showing

a 70% or more reduction in the dimensions of the lesion. Additionally, PPMRI demonstrated

genuine abilities in predicting cervical histologic residual disease, especially when histologic

residual disease was10 mm or more.

Our results suggest PPMRI to be a suitable tool for triaging patients that could benefit from

completion surgery. Thus, although patients with PPMRI complete response did not show any

benefit in undergoing completion surgery, it significantly improved both RFS and OS in

patients with incomplete response. The debate about whether or not completion surgery

should be performed following CRT has been ongoing for decades. At this stage, available

published data reported no obvious benefit of completion surgery but genuine morbidity

[18,20,20,23]. Our results are consistent with this statement as the sole practice of completion

surgery did not demonstrate any improvement in patients risk of recurrence, nor death (tables

2 and 3). Previous data suggest that completion surgery could be beneficial in selected

patients with documented post RCT residual cervical disease and of no therapeutic impact in

patients with complete response following CRT [19,27]. Such approach is consistent with our

findings. Although our results suggest completion surgery does not improve outcomes of

patients that achieved complete response at PPMRI, this option seems genuinely worthwhile

in selected cases showing incomplete response and should therefore be considered.

With a 70% threshold in the reduction of the initial dimension of the lesion identified as the

best predictor for outcome, our findings raise concerns regarding the possibility of time-

related ongoing effects of CRT. Indeed, as PPMRI were performed within a 3 month delay

following the completion of CRT, it is possible that patients had achieved complete histologic

Journ

al Pre-

proof

Page 21: Prognosis impact of posttreatment pelvic MRI in patients

20

response after PPMRI had been performed. This could at least partially explain why, among

71 patients found with incomplete response on PPMRI, 30 (42.3%) finally showed no

histologic residue on hysterectomy specimen (Table 4). This hypothesis is supported by

previous published data showing that early MRI evaluation of cervical cancer’s response to

CRT is less reliable if performed too early, with increased risk of false positive results when

performed before a 3 months delay [13,17]. The delay in which imaging exams should be

performed following CRT remains widely discussed. To date, there is still no consensus about

the optimal time delay when PPMRI should be performed following RCT and practice was

shown to vary from 3 weeks to 6 months after completion of CRT across Europe [11]. As

morbidity of completion surgery directly depends on the delay following CRT and increases

with time, it is however crucial that imaging should be performed early enough to enable

surgery to be considered and organized. Unfortunately, the exact date when PPRMI had been

performed were not properly documented in a majority of patients’ medical charts, therefore

not allowing for a precise estimation of the impact of delay following CRT on the prediction

of histologic residual disease. We believe this point to be of major importance when

interpreting our results and considering exporting those to clinical routine practice as our

results cannot be extrapolated to PPMRI performed after the delay of 3 months reported here.

Additionally to the possible time related delay in CRT effect, our results suggest performance

of PPMRI to directly depend on the dimensions of cervical residual disease. Thus, only

histologic residue of 10 mm or more are likely to be properly identified by PPMRI. This

finding provides additional information on the possible reasons and risks of false negative

results of PPMRI. Due to the retrospective nature of our analysis, we were not able to provide

reliable information regarding MRI types and characteristics, precise MRI sequences used and

imaging evaluation. We acknowledge this point to represent a major limitation that should be

carefully considered when interpreting our results. It is thus unfortunate that we were not able

Journ

al Pre-

proof

Page 22: Prognosis impact of posttreatment pelvic MRI in patients

21

to identify the impact of diffusion-weighted PPMRI on its performance and to assess values

of changes in cervical tumour’s apparent diffusion coefficient as this data was not

systematically recorded. Because it showed high value for the evaluation of tumour viability

and prediction of treatment efficacy, this technique is currently routinely used in all our

participating centres for PPMRI evaluation [28–32]. With our retrospective analysis running

for a 20 year period, only most recent PPMRI examinations from our cohort were likely to

have used diffusion-weighted technique. Although we were not able to specifically assess the

benefit of this technique, we did not observe any significant change of PPMRI prognosis

value over time when assessing the impact of time on patients’ outcome.

CONCLUSIONS

Systematic PPMRI is predictive of the prognosis of patients treated with CRT for locally

advanced cervical cancer. Best prediction in patients’ prognosis was achieved when a

reduction of 70% or more in the dimensions of the lesion was observed. Finally, PPMRI

demonstrated high sensitivity in predicting cervical histologic residual disease, with optimal

prediction achieved for histologic residual disease of at least 10 mm. It therefore could help

for the identification of patients with histologic residual disease and therefore for the triage of

patients that could benefit from completion surgery. Thus, in patients with IB2-IIB cervical

cancer, although the identification of complete response at PPRMI performed within 3

months after CRT does not support the practice of completion surgery, it should be

considered in patients with incomplete response.

Journ

al Pre-

proof

Page 23: Prognosis impact of posttreatment pelvic MRI in patients

22

REFERENCES

[1] Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer

statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36

cancers in 185 countries. CA Cancer J Clin 2018. https://doi.org/10.3322/caac.21492.

[2] Green J, Kirwan J, Tierney J, Vale C, Symonds P, Fresco L, et al. Concomitant

chemotherapy and radiation therapy for cancer of the uterine cervix. Cochrane Database

Syst Rev 2005:CD002225. https://doi.org/10.1002/14651858.CD002225.pub2.

[3] Green JA, Kirwan JM, Tierney JF, Symonds P, Fresco L, Collingwood M, et al. Survival

and recurrence after concomitant chemotherapy and radiotherapy for cancer of the

uterine cervix: a systematic review and meta-analysis. Lancet 2001;358:781–6.

https://doi.org/10.1016/S0140-6736(01)05965-7.

[4] Landoni F, Maneo A, Colombo A, Placa F, Milani R, Perego P, et al. Randomised study

of radical surgery versus radiotherapy for stage Ib-IIa cervical cancer. Lancet

1997;350:535–40. https://doi.org/10.1016/S0140-6736(97)02250-2.

[5] Chemoradiotherapy for Cervical Cancer Meta-analysis Collaboration (CCCMAC).

Reducing uncertainties about the effects of chemoradiotherapy for cervical cancer:

individual patient data meta-analysis. Cochrane Database Syst Rev 2010:CD008285.

https://doi.org/10.1002/14651858.CD008285.

[6] Yoon WS, Yang DS, Lee JA, Lee NK, Park YJ, Kim CY, et al. Validation of

Nomograms for Survival and Metastases after Hysterectomy and Adjuvant Therapy in

Uterine Cervical Cancer with Risk Factors. Biomed Res Int 2017;2017:2917925.

https://doi.org/10.1155/2017/2917925.

[7] Rose PG, Java J, Whitney CW, Stehman FB, Lanciano R, Thomas GM, et al.

Nomograms Predicting Progression-Free Survival, Overall Survival, and Pelvic

Journ

al Pre-

proof

Page 24: Prognosis impact of posttreatment pelvic MRI in patients

23

Recurrence in Locally Advanced Cervical Cancer Developed From an Analysis of

Identifiable Prognostic Factors in Patients From NRG Oncology/Gynecologic Oncology

Group Randomized Trials of Chemoradiotherapy. J Clin Oncol 2015;33:2136–42.

https://doi.org/10.1200/JCO.2014.57.7122.

[8] Beriwal S, Kannan N, Sukumvanich P, Richard SD, Kelley JL, Edwards RP, et al.

Complete metabolic response after definitive radiation therapy for cervical cancer:

patterns and factors predicting for recurrence. Gynecol Oncol 2012;127:303–6.

https://doi.org/10.1016/j.ygyno.2012.08.006.

[9] Bhatla N, Aoki D, Sharma DN, Sankaranarayanan R. Cancer of the cervix uteri. Int J

Gynaecol Obstet 2018;143 Suppl 2:22–36. https://doi.org/10.1002/ijgo.12611.

[10] Bhatla N, Berek JS, Cuello Fredes M, Denny LA, Grenman S, Karunaratne K, et al.

Revised FIGO staging for carcinoma of the cervix uteri. Int J Gynaecol Obstet

2019;145:129–35. https://doi.org/10.1002/ijgo.12749.

[11] Balleyguier C, Sala E, Da Cunha T, Bergman A, Brkljacic B, Danza F, et al. Staging of

uterine cervical cancer with MRI: guidelines of the European Society of Urogenital

Radiology. Eur Radiol 2011;21:1102–10. https://doi.org/10.1007/s00330-010-1998-x.

[12] Mitchell DG, Snyder B, Coakley F, Reinhold C, Thomas G, Amendola M, et al. Early

invasive cervical cancer: tumor delineation by magnetic resonance imaging, computed

tomography, and clinical examination, verified by pathologic results, in the ACRIN

6651/GOG 183 Intergroup Study. J Clin Oncol 2006;24:5687–94.

https://doi.org/10.1200/JCO.2006.07.4799.

[13] Gui B, Valentini AL, Miccò M, D’Agostino GR, Tagliaferri L, Zannoni GF, et al.

Cervical cancer response to neoadjuvant chemoradiotherapy: MRI assessment compared

with surgery. Acta Radiol 2016;57:1123–31.

https://doi.org/10.1177/0284185115617346.

Journ

al Pre-

proof

Page 25: Prognosis impact of posttreatment pelvic MRI in patients

24

[14] Ferrandina G, Petrillo M, Restaino G, Rufini V, Macchia G, Carbone A, et al. Can

radicality of surgery be safely modulated on the basis of MRI and PET/CT imaging in

locally advanced cervical cancer patients administered preoperative treatment? Cancer

2012;118:392–403. https://doi.org/10.1002/cncr.26317.

[15] Pinkavova I, Fischerova D, Zikan M, Burgetova A, Slama J, Svarovsky J, et al.

Transrectal ultrasound and magnetic resonance imaging in the evaluation of tumor size

following neoadjuvant chemotherapy for locally advanced cervical cancer. Ultrasound

Obstet Gynecol 2013;42:705–12. https://doi.org/10.1002/uog.12455.

[16] Hequet D, Marchand E, Place V, Fourchotte V, De La Rochefordière A, Dridi S, et al.

Evaluation and impact of residual disease in locally advanced cervical cancer after

concurrent chemoradiation therapy: results of a multicenter study. Eur J Surg Oncol

2013;39:1428–34. https://doi.org/10.1016/j.ejso.2013.10.006.

[17] Vincens E, Balleyguier C, Rey A, Uzan C, Zareski E, Gouy S, et al. Accuracy of

magnetic resonance imaging in predicting residual disease in patients treated for stage

IB2/II cervical carcinoma with chemoradiation therapy : correlation of radiologic

findings with surgicopathologic results. Cancer 2008;113:2158–65.

https://doi.org/10.1002/cncr.23817.

[18] Azria E, Morice P, Haie-Meder C, Thoury A, Pautier P, Lhomme C, et al. Results of

hysterectomy in patients with bulky residual disease at the end of chemoradiotherapy for

stage IB2/II cervical carcinoma. Ann Surg Oncol 2005;12:332–7.

https://doi.org/10.1245/ASO.2005.05.020.

[19] Chereau E, DE LA Hosseraye C, Ballester M, Monnier L, Rouzier R, Touboul E, et al.

The role of completion surgery after concurrent radiochemotherapy in locally advanced

stages IB2-IIB cervical cancer. Anticancer Res 2013;33:1661–6.

Journ

al Pre-

proof

Page 26: Prognosis impact of posttreatment pelvic MRI in patients

25

[20] Classe JM, Rauch P, Rodier JF, Morice P, Stoeckle E, Lasry S, et al. Surgery after

concurrent chemoradiotherapy and brachytherapy for the treatment of advanced cervical

cancer: morbidity and outcome: results of a multicenter study of the GCCLCC (Groupe

des Chirurgiens de Centre de Lutte Contre le Cancer). Gynecol Oncol 2006;102:523–9.

https://doi.org/10.1016/j.ygyno.2006.01.022.

[21] Carcopino X, Houvenaeghel G, Buttarelli M, Esterni B, Tallet A, Goncalves A, et al.

Equivalent survival in patients with advanced stage IB-II and III-IVA cervical cancer

treated by adjuvant surgery following chemoradiotherapy. Eur J Surg Oncol

2008;34:569–75. https://doi.org/10.1016/j.ejso.2007.04.006.

[22] Houvenaeghel G, Lelievre L, Gonzague-Casabianca L, Buttarelli M, Moutardier V,

Goncalves A, et al. Long-term survival after concomitant chemoradiotherapy prior to

surgery in advanced cervical carcinoma. Gynecol Oncol 2006;100:338–43.

https://doi.org/10.1016/j.ygyno.2005.08.047.

[23] Lèguevaque P, Motton S, Delannes M, Querleu D, Soulé-Tholy M, Tap G, et al.

Completion surgery or not after concurrent chemoradiotherapy for locally advanced

cervical cancer? Eur J Obstet Gynecol Reprod Biol 2011;155:188–92.

https://doi.org/10.1016/j.ejogrb.2010.11.016.

[24] Ferrandina G, Legge F, Fagotti A, Fanfani F, Distefano M, Morganti A, et al.

Preoperative concomitant chemoradiotherapy in locally advanced cervical cancer:

safety, outcome, and prognostic measures. Gynecol Oncol 2007;107:S127-132.

https://doi.org/10.1016/j.ygyno.2007.07.006.

[25] Morice P, Uzan C, Zafrani Y, Delpech Y, Gouy S, Haie-Meder C. The role of surgery

after chemoradiation therapy and brachytherapy for stage IB2/II cervical cancer.

Gynecol Oncol 2007;107:S122-124. https://doi.org/10.1016/j.ygyno.2007.07.015.

Journ

al Pre-

proof

Page 27: Prognosis impact of posttreatment pelvic MRI in patients

26

[26] Pecorelli S. Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium.

Int J Gynaecol Obstet 2009;105:103–4.

[27] Morice P, Rouanet P, Rey A, Romestaing P, Houvenaeghel G, Boulanger JC, et al.

Results of the GYNECO 02 study, an FNCLCC phase III trial comparing hysterectomy

with no hysterectomy in patients with a (clinical and radiological) complete response

after chemoradiation therapy for stage IB2 or II cervical cancer. Oncologist 2012;17:64–

71. https://doi.org/10.1634/theoncologist.2011-0276.

[28] Feng Y, Liu H, Ding Y, Zhang Y, Liao C, Jin Y, et al. Combined dynamic DCE-MRI

and diffusion-weighted imaging to evaluate the effect of neoadjuvant chemotherapy in

cervical cancer. Tumori 2020;106:155–64. https://doi.org/10.1177/0300891619886656.

[29] Ho JC, Fang P, Cardenas CE, Mohamed ASR, Fuller CD, Allen PK, et al. Volumetric

assessment of apparent diffusion coefficient predicts outcome following chemoradiation

for cervical cancer. Radiother Oncol 2019;135:58–64.

https://doi.org/10.1016/j.radonc.2019.02.012.

[30] Gu K-W, Kim CK, Choi CH, Yoon YC, Park W. Prognostic value of ADC

quantification for clinical outcome in uterine cervical cancer treated with concurrent

chemoradiotherapy. Eur Radiol 2019;29:6236–44. https://doi.org/10.1007/s00330-019-

06204-w.

[31] Schreuder SM, Lensing R, Stoker J, Bipat S. Monitoring treatment response in patients

undergoing chemoradiotherapy for locally advanced uterine cervical cancer by

additional diffusion-weighted imaging: A systematic review. J Magn Reson Imaging

2015;42:572–94. https://doi.org/10.1002/jmri.24784.

[32] Harry VN, Semple SI, Gilbert FJ, Parkin DE. Diffusion-weighted magnetic resonance

imaging in the early detection of response to chemoradiation in cervical cancer. Gynecol

Oncol 2008;111:213–20. https://doi.org/10.1016/j.ygyno.2008.07.048.

Journ

al Pre-

proof

Page 28: Prognosis impact of posttreatment pelvic MRI in patients

27

Conflict of Interest’ statement: All authors have no conflict of interest to declare.

Journ

al Pre-

proof

Page 29: Prognosis impact of posttreatment pelvic MRI in patients

Conflict of Interest’ statement: All authors have no conflict of interest to declare.

Journ

al Pre-

proof